/home/rain/PycharmProjects/VietNamese-CMU-Sphinx-master/Tool/huanluyen2/huanluyen_diadiem

Training huanluyen_diadiem on rain-Inspiron-3847

MODULE: 000 Computing feature from audio files (2017-12-28 14:54)

Extracting features from segments starting at (part 1 of 1)

sphinx_fe Log File

completed completed

Extracting features from segments starting at (part 1 of 1)

sphinx_fe Log File

completed completed

Feature extraction is done

MODULE: 00 verify training files (2017-12-28 14:54)

Phase 1: Checking to see if the dict and filler dict agrees with the phonelist file.

Found 19 words using 28 phones

passed

Phase 2: Checking to make sure there are not duplicate entries in the dictionary

passed

Phase 3: Check general format for the fileids file; utterance length (must be positive); files exist

WARNING: Error in '/home/rain/PycharmProjects/VietNamese-CMU-Sphinx-master/Tool/huanluyen2/huanluyen_diadiem/etc/huanluyen_diadiem_train.fileids', the feature file '/home/rain/PycharmProjects/VietNamese-CMU-Sphinx-master/Tool/huanluyen2/huanluyen_diadiem/feat/train/CAFPHEE011.mfc' does not exist, or is empty

FAILED

Phase 4: Checking number of lines in the transcript file should match lines in fileids file

passed

Phase 5: Determine amount of training data, see if n_tied_states seems reasonable.

Estimated Total Hours Training: -0.00105149572649576

This is a small amount of data, no comment at this time

WARNING

Phase 6: Checking that all the words in the transcript are in the dictionary

Words in dictionary: 16

Words in filler dictionary: 3

passed

Phase 7: Checking that all the phones in the transcript are in the phonelist, and all phones in the phonelist appear at least once

passed

MODULE: 000 Computing feature from audio files (2017-12-28 15:10)

Extracting features from segments starting at (part 1 of 1)

sphinx_fe Log File

ERROR: This step had 4921 ERROR messages and 0 WARNING messages. Please check the log file for details.

completed

Extracting features from segments starting at (part 1 of 1)

sphinx_fe Log File

ERROR: This step had 80 ERROR messages and 0 WARNING messages. Please check the log file for details.

completed

Feature extraction is done

MODULE: 00 verify training files (2017-12-28 15:10)

Phase 1: Checking to see if the dict and filler dict agrees with the phonelist file.

Found 19 words using 28 phones

passed

Phase 2: Checking to make sure there are not duplicate entries in the dictionary

passed

Phase 3: Check general format for the fileids file; utterance length (must be positive); files exist

FAILED

Phase 4: Checking number of lines in the transcript file should match lines in fileids file

passed

Phase 5: Determine amount of training data, see if n_tied_states seems reasonable.

Estimated Total Hours Training: -0.00105149572649576

ERROR: Not enough data for the training, we can only train CI models (set CFG_CD_TRAIN to "no")

FAILED

Phase 6: Checking that all the words in the transcript are in the dictionary

Words in dictionary: 16

Words in filler dictionary: 3

passed

Phase 7: Checking that all the phones in the transcript are in the phonelist, and all phones in the phonelist appear at least once

passed

MODULE: 000 Computing feature from audio files (2017-12-28 15:11)

Extracting features from segments starting at (part 1 of 1)

sphinx_fe Log File

ERROR: This step had 4921 ERROR messages and 0 WARNING messages. Please check the log file for details.

completed

Extracting features from segments starting at (part 1 of 1)

sphinx_fe Log File

ERROR: This step had 80 ERROR messages and 0 WARNING messages. Please check the log file for details.

completed

Feature extraction is done

MODULE: 00 verify training files (2017-12-28 15:11)

Phase 1: Checking to see if the dict and filler dict agrees with the phonelist file.

Found 19 words using 28 phones

passed

Phase 2: Checking to make sure there are not duplicate entries in the dictionary

passed

Phase 3: Check general format for the fileids file; utterance length (must be positive); files exist

FAILED

Phase 4: Checking number of lines in the transcript file should match lines in fileids file

passed

Phase 5: Determine amount of training data, see if n_tied_states seems reasonable.

Estimated Total Hours Training: -0.00105149572649576

ERROR: Not enough data for the training, we can only train CI models (set CFG_CD_TRAIN to "no")

FAILED

Phase 6: Checking that all the words in the transcript are in the dictionary

Words in dictionary: 16

Words in filler dictionary: 3

passed

Phase 7: Checking that all the phones in the transcript are in the phonelist, and all phones in the phonelist appear at least once

passed